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Artificial Neural Network Forecast For Chongqing's Logistic Demand Research

Posted on:2011-12-15Degree:MasterType:Thesis
Country:ChinaCandidate:Y WuFull Text:PDF
GTID:2189330332471776Subject:Business management
Abstract/Summary:PDF Full Text Request
With the continuous and rapid developing of our national economy and the improvement of the national trade, the national logistic market is expanding by leaps and bounds. Our national economy is obviously promoted by logistic, which is considered as'the third source of profit'. Chongqing as a material distribution center in southwest China, logistics will have increasing influence on GDP. But nowadays, many people ignore the demand of logistic, the plan they made is obviously not fit for the fact. So it is a foundational premise for the sustained and healthy development of our national logistic demand to establish a scientific and applicable forecasting model for logistic demand and give the accurate estimate.This paper mainly studies the problem how to predict the demand logistics of Chongqing, which based on the artificial neural network (ANN) theory. Firstly the article simply introduces the basic theory of logistics demand. Secondly this paper analyzes the demanding index of logistics and sets up the demanding forecast index system. Finally this paper based on the introducing of ANN theory, establishes ANN model for Chongqing logistics demanding forecast by using qualitative and quantitative forecast method. And then makes some advices for Chongqing on modern logistics development.
Keywords/Search Tags:Artificial Neural Network, Logistics demand, Forecast, Chongqing
PDF Full Text Request
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